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Liu, Sijia, Kar, Swarnendu, Fardad, Makan, and Varshney, Pramod K., 2016. Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters. IEEE Transactions on Signal Processing, 64(24):6613–6626, doi:10.1109/TSP.2016.2612173.
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@ARTICLE{2016ITSP...64.6613L,
author = {{Liu}, Sijia and {Kar}, Swarnendu and {Fardad}, Makan and {Varshney}, Pramod K.},
title = "{Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters}",
journal = {IEEE Transactions on Signal Processing},
keywords = {Computer Science - Information Theory, Statistics - Applications},
year = 2016,
month = dec,
volume = {64},
number = {24},
pages = {6613-6626},
abstract = "{In this paper, we aim to design the optimal sensor collaboration
strategy for the estimation of time-varying parameters, where
collaboration refers to the act of sharing measurements with
neighboring sensors prior to transmission to a fusion center. We
begin by addressing the sensor collaboration problem for the
estimation of uncorrelated parameters. We show that the
resulting collaboration problem can be transformed into a
special nonconvex optimization problem, where a difference of
convex functions carries all the nonconvexity. This specific
problem structure enables the use of a convex-concave procedure
to obtain a near-optimal solution. When the parameters of
interest are temporally correlated, a penalized version of the
convex-concave procedure becomes well suited for designing the
optimal collaboration scheme. In order to improve computational
efficiency, we further propose a fast algorithm that scales
gracefully with problem size via the alternating direction
method of multipliers. Numerical results are provided to
demonstrate the effectiveness of our approach and the impact of
parameter correlation and temporal dynamics of sensor networks
on estimation performance.}",
doi = {10.1109/TSP.2016.2612173},
archivePrefix = {arXiv},
eprint = {1603.03448},
primaryClass = {cs.IT},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016ITSP...64.6613L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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